A new CAD tool for high speed VLSI interconnect simulation is presented. Neural networks are capable of modeling the relationship between an interconnect network and its associated signal integrity parameters in an efficient yet simple manner, producing fast models ideally suited for CAD and optimization routines. The resultant models have high accuracy and low run times, and give substantial speedup over existing simulation techniques
Nowadays, many real world problems need fast processing neural networks to come up with a solution i...
Various levels of high speed VLSI interconnect models are described, followed by a detailed derivati...
Artificial neural networks (ANNs) are presented for the technology-independent modeling of active de...
Signal integrity issues such as delay and crosstalk are important in designing high-speed printed ci...
In this paper, artificial neural networks are applied to the modeling of the frequency-dependent par...
Models used for simulating propagation delays in networks containing high speed VLSI interconnects f...
Abstract — Artificial neural networks (ANN) have gained attention as fast and flexible vehicles to m...
As signal speeds increase, interconnect effects such as signal delay, distortion, and crosstalk beco...
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Recently, circuit analysis and optimization featuring neural-network models have been proposed, redu...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With a short product cycle as we see today, fast and accurate modeling methods are becoming crucial ...
A simulation framework for artificial neural network models and electronic implementations (CMOS) is...
Nowadays, many real world problems need fast processing neural networks to come up with a solution i...
Various levels of high speed VLSI interconnect models are described, followed by a detailed derivati...
Artificial neural networks (ANNs) are presented for the technology-independent modeling of active de...
Signal integrity issues such as delay and crosstalk are important in designing high-speed printed ci...
In this paper, artificial neural networks are applied to the modeling of the frequency-dependent par...
Models used for simulating propagation delays in networks containing high speed VLSI interconnects f...
Abstract — Artificial neural networks (ANN) have gained attention as fast and flexible vehicles to m...
As signal speeds increase, interconnect effects such as signal delay, distortion, and crosstalk beco...
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Recently, circuit analysis and optimization featuring neural-network models have been proposed, redu...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With the increase in data rates, signal integrity analysis has become more time and memory intensive...
With a short product cycle as we see today, fast and accurate modeling methods are becoming crucial ...
A simulation framework for artificial neural network models and electronic implementations (CMOS) is...
Nowadays, many real world problems need fast processing neural networks to come up with a solution i...
Various levels of high speed VLSI interconnect models are described, followed by a detailed derivati...
Artificial neural networks (ANNs) are presented for the technology-independent modeling of active de...